
// g++-4.4 -DNOMTL  -Wl,-rpath /usr/local/lib/oski -L /usr/local/lib/oski/ -l oski -l oski_util -l oski_util_Tid  -DOSKI
// -I ~/Coding/LinearAlgebra/mtl4/  spmv.cpp  -I .. -O2 -DNDEBUG -lrt  -lm -l oski_mat_CSC_Tid  -loskilt && ./a.out
// r200000 c200000 n100 t1 p1

#define SCALAR double

#include "BenchSparseUtil.h"
#include "BenchTimer.h"
#include <algorithm>
#include <iostream>

#define SPMV_BENCH(CODE) BENCH(t, tries, repeats, CODE);

// #ifdef MKL
//
// #include "mkl_types.h"
// #include "mkl_spblas.h"
//
// template<typename Lhs,typename Rhs,typename Res>
// void mkl_multiply(const Lhs& lhs, const Rhs& rhs, Res& res)
// {
//   char n = 'N';
//   float alpha = 1;
//   char matdescra[6];
//   matdescra[0] = 'G';
//   matdescra[1] = 0;
//   matdescra[2] = 0;
//   matdescra[3] = 'C';
//   mkl_scscmm(&n, lhs.rows(), rhs.cols(), lhs.cols(), &alpha, matdescra,
//              lhs._valuePtr(), lhs._innerIndexPtr(), lhs.outerIndexPtr(),
//              pntre, b, &ldb, &beta, c, &ldc);
// //   mkl_somatcopy('C', 'T', lhs.rows(), lhs.cols(), 1,
// //                 lhs._valuePtr(), lhs.rows(), DST, dst_stride);
// }
//
// #endif

int
main(int argc, char* argv[])
{
	int size = 10000;
	int rows = size;
	int cols = size;
	int nnzPerCol = 40;
	int tries = 2;
	int repeats = 2;

	bool need_help = false;
	for (int i = 1; i < argc; i++) {
		if (argv[i][0] == 'r') {
			rows = atoi(argv[i] + 1);
		} else if (argv[i][0] == 'c') {
			cols = atoi(argv[i] + 1);
		} else if (argv[i][0] == 'n') {
			nnzPerCol = atoi(argv[i] + 1);
		} else if (argv[i][0] == 't') {
			tries = atoi(argv[i] + 1);
		} else if (argv[i][0] == 'p') {
			repeats = atoi(argv[i] + 1);
		} else {
			need_help = true;
		}
	}
	if (need_help) {
		std::cout << argv[0] << " r<nb rows> c<nb columns> n<non zeros per column> t<nb tries> p<nb repeats>\n";
		return 1;
	}

	std::cout << "SpMV " << rows << " x " << cols << " with " << nnzPerCol << " non zeros per column. (" << repeats
			  << " repeats, and " << tries << " tries)\n\n";

	EigenSparseMatrix sm(rows, cols);
	DenseVector dv(cols), res(rows);
	dv.setRandom();

	BenchTimer t;
	while (nnzPerCol >= 4) {
		std::cout << "nnz: " << nnzPerCol << "\n";
		sm.setZero();
		fillMatrix2(nnzPerCol, rows, cols, sm);

// dense matrices
#ifdef DENSEMATRIX
		{
			DenseMatrix dm(rows, cols), (rows, cols);
			eiToDense(sm, dm);

			SPMV_BENCH(res = dm * sm);
			std::cout << "Dense       " << t.value() / repeats << "\t";

			SPMV_BENCH(res = dm.transpose() * sm);
			std::cout << t.value() / repeats << endl;
		}
#endif

		// eigen sparse matrices
		{
			SPMV_BENCH(res.noalias() += sm * dv;)
			std::cout << "Eigen       " << t.value() / repeats << "\t";

			SPMV_BENCH(res.noalias() += sm.transpose() * dv;)
			std::cout << t.value() / repeats << endl;
		}

// CSparse
#ifdef CSPARSE
		{
			std::cout << "CSparse \n";
			cs* csm;
			eiToCSparse(sm, csm);

			//       BENCH();
			//       timer.stop();
			//       std::cout << "   a * b:\t" << timer.value() << endl;

			//       BENCH( { m3 = cs_sorted_multiply2(m1, m2); cs_spfree(m3); } );
			//       std::cout << "   a * b:\t" << timer.value() << endl;
		}
#endif

#ifdef OSKI
		{
			oski_matrix_t om;
			oski_vecview_t ov, ores;
			oski_Init();
			om = oski_CreateMatCSC(sm._outerIndexPtr(),
								   sm._innerIndexPtr(),
								   sm._valuePtr(),
								   rows,
								   cols,
								   SHARE_INPUTMAT,
								   1,
								   INDEX_ZERO_BASED);
			ov = oski_CreateVecView(dv.data(), cols, STRIDE_UNIT);
			ores = oski_CreateVecView(res.data(), rows, STRIDE_UNIT);

			SPMV_BENCH(oski_MatMult(om, OP_NORMAL, 1, ov, 0, ores));
			std::cout << "OSKI        " << t.value() / repeats << "\t";

			SPMV_BENCH(oski_MatMult(om, OP_TRANS, 1, ov, 0, ores));
			std::cout << t.value() / repeats << "\n";

			// tune
			t.reset();
			t.start();
			oski_SetHintMatMult(om, OP_NORMAL, 1.0, SYMBOLIC_VEC, 0.0, SYMBOLIC_VEC, ALWAYS_TUNE_AGGRESSIVELY);
			oski_TuneMat(om);
			t.stop();
			double tuning = t.value();

			SPMV_BENCH(oski_MatMult(om, OP_NORMAL, 1, ov, 0, ores));
			std::cout << "OSKI tuned  " << t.value() / repeats << "\t";

			SPMV_BENCH(oski_MatMult(om, OP_TRANS, 1, ov, 0, ores));
			std::cout << t.value() / repeats << "\t(" << tuning << ")\n";

			oski_DestroyMat(om);
			oski_DestroyVecView(ov);
			oski_DestroyVecView(ores);
			oski_Close();
		}
#endif

#ifndef NOUBLAS
		{
			using namespace boost::numeric;
			UblasMatrix um(rows, cols);
			eiToUblas(sm, um);

			boost::numeric::ublas::vector<Scalar> uv(cols), ures(rows);
			Map<Matrix<Scalar, Dynamic, 1>>(&uv[0], cols) = dv;
			Map<Matrix<Scalar, Dynamic, 1>>(&ures[0], rows) = res;

			SPMV_BENCH(ublas::axpy_prod(um, uv, ures, true));
			std::cout << "ublas       " << t.value() / repeats << "\t";

			SPMV_BENCH(ublas::axpy_prod(boost::numeric::ublas::trans(um), uv, ures, true));
			std::cout << t.value() / repeats << endl;
		}
#endif

// GMM++
#ifndef NOGMM
		{
			GmmSparse gm(rows, cols);
			eiToGmm(sm, gm);

			std::vector<Scalar> gv(cols), gres(rows);
			Map<Matrix<Scalar, Dynamic, 1>>(&gv[0], cols) = dv;
			Map<Matrix<Scalar, Dynamic, 1>>(&gres[0], rows) = res;

			SPMV_BENCH(gmm::mult(gm, gv, gres));
			std::cout << "GMM++       " << t.value() / repeats << "\t";

			SPMV_BENCH(gmm::mult(gmm::transposed(gm), gv, gres));
			std::cout << t.value() / repeats << endl;
		}
#endif

// MTL4
#ifndef NOMTL
		{
			MtlSparse mm(rows, cols);
			eiToMtl(sm, mm);
			mtl::dense_vector<Scalar> mv(cols, 1.0);
			mtl::dense_vector<Scalar> mres(rows, 1.0);

			SPMV_BENCH(mres = mm * mv);
			std::cout << "MTL4        " << t.value() / repeats << "\t";

			SPMV_BENCH(mres = trans(mm) * mv);
			std::cout << t.value() / repeats << endl;
		}
#endif

		std::cout << "\n";

		if (nnzPerCol == 1)
			break;
		nnzPerCol -= nnzPerCol / 2;
	}

	return 0;
}
